Dealing with Non-Uniform Demands in Flexible GEO Satellites: The Carrier Aggregation Perspective

A digital front-end decimation chain based on both Farrow interpolator for fractional sample-rate conversion and a digital mixer is proposed in order to comply with the long-term evolution standards in radio receivers with ten frequency modes. Design requirement specifications with adjacent channel selectivity, inband blockers, and narrowband blockers are all satisfied so that the proposed digital front-end is 3GPP-compliant. Furthermore, the proposed digital front-end addresses carrier aggregation in the standards via appropriate frequency translations. The digital front-end has a cascaded integrator comb filter prior to Farrow interpolator and also has a per-carrier carrier aggregation filter and channel selection filter following the digital mixer. A Farrow interpolator with an integrate-and-dump circuitry controlled by a condition signal is proposed and also a digital mixer with periodic reset to prevent phase error accumulation is proposed. From the standpoint of design methodology, three models are all developed for the overall digital front-end, namely, functional models, cycle-accurate models, and bit-accurate models. Performance is verified by means of the cycle-accurate model and subsequently, by means of a special C++ class, the bitwidths are minimized in a methodic manner for area minimization. For system-level performance verification, the orthogonal frequency division multiplexing receiver is also modeled. The critical path delay of each building block is analyzed and the spectral-domain view is obtained for each building block of the digital front-end circuitry. The proposed digital front-end circuitry is simulated, designed, and both synthesized in a 180 nm CMOS application-specific integrated circuit technology and implemented in the Xilinx XC6VLX550T field-programmable gate array (Xilinx, San Jose, CA, USA).

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Performance Analysis of Downlink Inter-Band Carrier Aggregation in LTE-Advanced

2011 IEEE Vehicular Technology Conference (VTC Fall) ◽

10.1109/vetecf.2011.6092836 ◽

2011 ◽

Cited By ~ 34

Author(s):

Hua Wang ◽

Claudio Rosa ◽

Klaus Pedersen

Keyword(s):

Performance Analysis ◽

Carrier Aggregation ◽

Lte Advanced

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Packet scheduling with carrier aggregation for balancing QoS in LTE advanced Networks

2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA ◽

10.1109/mi-sta52233.2021.9464441 ◽

2021 ◽

Author(s):

Heba M. Zegallai ◽

Salem A. Awad

Keyword(s):

Packet Scheduling ◽

Carrier Aggregation ◽

Lte Advanced

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Performance Analysis of the Korean Positioning System Using Observation Simulation

Remote Sensing ◽

10.3390/rs12203365 ◽

2020 ◽

Vol 12 (20) ◽

pp. 3365

Author(s):

Byung-Kyu Choi ◽

Kyoung-Min Roh ◽

Haibo Ge ◽

Maorong Ge ◽

Jung-Min Joo ◽

...

Keyword(s):

Precise Point Positioning ◽

Service Area ◽

Geosynchronous Orbit ◽

Positioning System ◽

Satellite Navigation System ◽

Position Errors ◽

Geo Satellites ◽

Point Positioning ◽

Ranging Errors ◽

Rms Errors

The Korean government has a plan to build a new regional satellite navigation system called the Korean Positioning System (KPS). The initial KPS constellation is designed to consist of seven satellites, which include three geostationary Earth orbit (GEO) satellites and four inclined geosynchronous orbit (IGSO) satellites. KPS will provide an independent positioning, navigation, and timing (PNT) service in the Asia-Oceania region and can also be compatible with GPS. In the simulation for KPS, we employ 24 GPS as designed initially and 7 KPS satellites. Compared to the true orbit that we simulated, the averaged root mean square (RMS) values of orbit-only signal-in-space ranging errors (SISRE) are approximately 4.3 and 3.9 cm for KPS GEO and IGSO. Two different positioning solutions are analyzed to demonstrate the KPS performance. KPS standard point positioning (SPP) errors in the service area are about 4.7, 3.9, and 7.1 m for east (E), north (N), and up (U) components, respectively. The combined KPS+GPS SPP accuracy can be improved by 25.0%, 31.8%, and 35.0% compared to GPS in E, N, and U components. The averaged position errors for KPS kinematic precise point positioning (KPPP) are less than 10 cm. In the fringe of the KPS service area, however, the position RMS errors can reach about 40 cm. Unlike KPS, GPS solutions show high positioning accuracy in the KPS service area. The combined KPS+GPS can be improved by 28.7%, 27.1%, and 30.5% compared to GPS in E, N, and U components, respectively. It is noted that KPS can provide better performance with GPS in the Asia-Oceania region.

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